References of "Focant, Jean-François"
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See detailTD-GCxGC-HRTOFMS in biological applications 
Focant, Jean-François ULiege; Pesesse, Romain ULiege; Dubois, Lena ULiege et al

Conference (2017, September)

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See detailPhoto-Ionization GCxGC-HRTOF/MS for Aviation Fuel Characterization
Giri, Anupam ULiege; Courtiade; Racaud et al

Conference (2017, September)

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See detailSpeeding up dioxin analysis: extending the instrumental comfort zone
Calaprice, Chiara ULiege; Focant, Jean-François ULiege

Scientific conference (2017, August)

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See detailDecoding the disciplines – A pilot study at the University of Liège (Belgium)
Verpoorten, Dominique ULiege; Devyver, Julie ULiege; Duchâteau, Dominique ULiege et al

in Andersson, Roy; Martensson, Katarina; Roxa, Torgny (Eds.) Proceedings of the 2nd EuroSoTL Conference - Transforming patterns through the scholarship of teaching and learning (2017, June)

This paper reports on a first attempt to apply the two first stages of the “Decoding the disciplines” framework (Pace, 2017) at the University of Liège (Belgium). In this context, 7 professors volunteered ... [more ▼]

This paper reports on a first attempt to apply the two first stages of the “Decoding the disciplines” framework (Pace, 2017) at the University of Liège (Belgium). In this context, 7 professors volunteered to reflect, through a structured process, upon “bottlenecks” in their courses, with the help of IFRES’ (Institute for Training and Research in Higher Education) pedagogical advisers. This pilot delivered contrasted observations: while participants granted value to their exposure to this approach, especially in terms of enhanced awareness of possible discrepancies between what experts and newcomers in the field might consider as obvious, none of them activated the possibility offered to tackle the identified bottlenecks, according to the systematic approach (stages 3-7) suggested by the framework. The paper presents the pedagogical setting, analyses the interviews of participants and the outcomes of the project, outlines explanations for its results, and shares some lessons learnt. [less ▲]

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See detailUntargeted serum metabolite profiling of colorectal cancer using GC-Orbitrap technology
Di Giovanni, Nicolas ULiege; Cojocariu, C; Silcock, P et al

Poster (2017, June)

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See detailAdvanced method optimization for volatile aroma profiling of beer using two-dimensional gas chromatography time-of-flight mass spectrometry
Stefanuto, Pierre-Hugues ULiege; Perrault, Katelynn ULiege; Dubois, Lena ULiege et al

in Journal of Chromatography. A (2017)

The complex mixture of volatile organic compounds (VOCs) present in the headspace of Trappist and craft beers was studied to illustrate the efficiency of thermal desorption (TD) comprehensive two ... [more ▼]

The complex mixture of volatile organic compounds (VOCs) present in the headspace of Trappist and craft beers was studied to illustrate the efficiency of thermal desorption (TD) comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GC × GC-TOFMS) for highlighting subtle differences between highly complex mixtures of VOCs. Headspace solid-phase microextraction (HS-SPME), multiple (and classical) stir bar sorptive extraction (mSBSE), static headspace (SHS), and dynamic headspace (DHS) were compared for the extraction of a set of 21 representative flavor compounds of beer aroma. A Box-Behnken surface response methodology experimental design optimization (DOE) was used for convex hull calculation (Delaunay’s triangulation algorithms) of peak dispersion in the chromatographic space. The predicted value of 0.5 for the ratio between the convex hull and the available space was 10% higher than the experimental value, demonstrating the usefulness of the approach to improve optimization of the GC × GC separation. Chemical variations amongst aligned chromatograms were studied by means of Fisher Ratio (FR) determination and F‐distribution threshold filtration at different significance levels (α = 0.05 and 0.01) and based on z‐score normalized area for data reduction. Statistically significant compounds were highlighted following principal component analysis (PCA) and hierarchical cluster analysis (HCA). The dendrogram structure not only provided clear visual information about similarities between products but also permitted direct identification of the chemicals and their relative weight in clustering. The effective coupling of DHS-TD-GC × GC-TOFMS with PCA and HCA was able to highlight the differences and common typical VOC patterns among 24 samples of different Trappist and selected Canadian craft beers. [less ▲]

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See detailGC×GC-(HR)TOFMS : Why we Love it !
Focant, Jean-François ULiege

Scientific conference (2017, May)

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See detailIsomeric species detection of base oil hydrocarbons by photo ionization GC×GC-HRTOF-MS
Giri, Anupam ULiege; Courtiade, M; Racaud, A et al

Conference (2017, May)

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See detailThe Case of the Decaying Cadaver
Stefanuto, Pierre-Hugues ULiege; Focant, Jean-François ULiege

in The Analytical Scientist (2017), 51

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See detailDioxins! Hunting the Great White Shark
Focant, Jean-François ULiege

Scientific conference (2017, March)

Detailed reference viewed: 22 (3 ULiège)